{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3BGIJKSPVGRRY2QE4L27L2QQCS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9db1a53df8e95ef6a205547014accedde32cb5ba2cb039c01d18183ecc9a2443","cross_cats_sorted":["cs.AI","cs.LG","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2023-12-24T15:04:46Z","title_canon_sha256":"53fa0a2b848022aff18b6cc0f9c4e611bc69f4aec2e6391372ead10f5a0b2490"},"schema_version":"1.0","source":{"id":"2312.15502","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.15502","created_at":"2026-07-05T07:27:57Z"},{"alias_kind":"arxiv_version","alias_value":"2312.15502v1","created_at":"2026-07-05T07:27:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.15502","created_at":"2026-07-05T07:27:57Z"},{"alias_kind":"pith_short_12","alias_value":"3BGIJKSPVGRR","created_at":"2026-07-05T07:27:57Z"},{"alias_kind":"pith_short_16","alias_value":"3BGIJKSPVGRRY2QE","created_at":"2026-07-05T07:27:57Z"},{"alias_kind":"pith_short_8","alias_value":"3BGIJKSP","created_at":"2026-07-05T07:27:57Z"}],"graph_snapshots":[{"event_id":"sha256:29c7e54342d9f777b7f19fc6944dd020ea81ee52e4a433b68bfd90fa9348ae92","target":"graph","created_at":"2026-07-05T07:27:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2312.15502/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Problem definition: Supply chains are constantly evolving networks. Reinforcement learning is increasingly proposed as a solution to provide optimal control of these networks. Academic/practical: However, learning in continuously varying environments remains a challenge in the reinforcement learning literature.Methodology: This paper therefore seeks to address whether agents can control varying supply chain problems, transferring learning between environments that require different strategies and avoiding catastrophic forgetting of tasks that have not been seen in a while. To evaluate this app","authors_text":"Adam J.Sobey, Haiyan Wang, Wan Wang","cross_cats":["cs.AI","cs.LG","cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2023-12-24T15:04:46Z","title":"Agent based modelling for continuously varying supply chains"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.15502","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ccc12164aa53799037696c12a84fc8fda4bad934438e3b8995cb4fc7d0b2e8eb","target":"record","created_at":"2026-07-05T07:27:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9db1a53df8e95ef6a205547014accedde32cb5ba2cb039c01d18183ecc9a2443","cross_cats_sorted":["cs.AI","cs.LG","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2023-12-24T15:04:46Z","title_canon_sha256":"53fa0a2b848022aff18b6cc0f9c4e611bc69f4aec2e6391372ead10f5a0b2490"},"schema_version":"1.0","source":{"id":"2312.15502","kind":"arxiv","version":1}},"canonical_sha256":"d84c84aa4fa9a31c6a04e2f5f5ea1014aaf8fb69e09af3a4989966637d419e12","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d84c84aa4fa9a31c6a04e2f5f5ea1014aaf8fb69e09af3a4989966637d419e12","first_computed_at":"2026-07-05T07:27:57.334359Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:27:57.334359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SLztjxEOTO7D859t1O4fA8DO0t2oEfaWFTrKG0x+xDlWuyRn27aQ5eTKebZOVWOw3LBvWCW/1ptiPGOyNHnKAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:27:57.334728Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.15502","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ccc12164aa53799037696c12a84fc8fda4bad934438e3b8995cb4fc7d0b2e8eb","sha256:29c7e54342d9f777b7f19fc6944dd020ea81ee52e4a433b68bfd90fa9348ae92"],"state_sha256":"d99c8c564c5ed8eeb6cd7106136891fd4d49227c50145616f54cb8d1a5595c44"}